Real estate analysts
Comparable review
Favorable to scraping
Convert a hand-picked set of comparable homes into a CSV, then sort by price, beds, baths, square footage, status, and broker before deeper valuation work.
Real Estate$50Free
Zillow Listing Scraper by URL
This Zillow listing scraper by URL turns a list of Zillow property detail pages into a structured CSV for real estate research. Import the workflow into the UScraper local desktop app, replace the sample property URLs, and export price, beds, baths, square feet, status, address, MLS ID, listing source, image URL, and house URL without building a custom Zillow data extractor.
Output
CSV export
Columns
11
Input mode
URL loop
Waits
30s + pause
Cost
Free template
At a glance
Export Zillow listing detail pages to CSV
Use this template when you already have the property URLs you want to inspect: saved comps, listings from an agent review, exported URLs from a search workflow, or a shortlist from another research system. URL-based scraping is useful because every row points to a specific property detail page instead of whatever happens to be visible on a changing search-results map.
The workflow is intentionally conservative. UScraper sets a large browser viewport, navigates to a Zillow URL, waits for the page load, clicks common consent or modal buttons when present, pauses briefly, waits for the property heading, then runs Structured Export. The output appends to one CSV so a batch of detail URLs becomes a single spreadsheet.
For broader discovery, start with the Zillow Listing Scraper by Keyword or the general Zillow Scraper, then pass selected property links into this URL-based template. You can also compare real estate workflows with the Zillow Profile Scraper and the full UScraper template library.
Built for known property URLs
Feed the workflow a curated list of Zillow detail pages and get one normalized row per accessible page, including the canonical house URL.
Spreadsheet-ready fields
Export listing details that analysts check first: price, bedroom and bathroom counts, square footage, listing status, address, MLS ID, brokerage text, and image URL.
Local desktop workflow
The stock template writes to a local CSV path and does not route your property shortlist through a hosted scraping queue.
Uses resilient extraction fallbacks
The export reads meta tags, the visible H1, current URL, MLS text, and embedded Zillow JSON because detail-page class names can change.
Who this is for
Zillow URL scraping use cases
Investors
Shortlist tracking
Favorable to scraping
Re-run the same Zillow URLs over time to compare current price and status text against internal underwriting notes or acquisition criteria.
Agencies and operators
Source cleanup
Nuanced outcome
Use exported house_url, mls_id, and listing_by fields to organize follow-up research without manually copying every Zillow page.
How to use
Run the Zillow property URL scraper
From property URLs to zillow-scraper.csv
- 1
Download and import
Download the hosted Zillow scraper by URL JSON, then import it into UScraper.
- 2
Replace the sample URLs
Paste your approved Zillow property detail URLs into the Navigate block. Keep batches modest until you confirm that the first rows export cleanly.
- 3
Run the URL loop
UScraper navigates to each property, waits for load, handles common consent prompts, waits for the
h1address, and runs Structured Export. - 4
Open the CSV
The workflow appends rows to
zillow-scraper.csvwith headers enabled, so every accessible URL stacks under the same field layout.
Output preview
What the Zillow CSV contains
The output mirrors the template definition and keeps one row per input property URL. Some fields can be blank when Zillow hides a value, serves a regional variant, shows an access challenge, or changes page data, so treat your first run as a validation pass.
zillow-scraper.csvColumn
keyword
State or location label inferred from breadcrumbs or the address.
Column
image_url
Open Graph listing image or another visible Zillow property image.
Column
house_url
Canonical Zillow property detail URL from metadata or the current page.
Column
price
Displayed price or embedded unformatted price normalized with a dollar sign.
Column
bedroom_s_
Bedroom count from Zillow metadata or visible page text.
Column
bathroom_s_
Bathroom count from Zillow metadata or visible page text.
Column
square_feet
Living area value parsed from embedded page data, meta description, or page text.
Column
status
Active, pending, sold, off market, house for sale, or similar status text.
Column
address
Property address from the page heading or Open Graph title.
Column
mls_id
MLS ID or MLS number when Zillow exposes it visibly or in embedded data.
Column
listing_by
Broker, brokerage, or listing source text when available.
Sample rows
2 of many
| keyword | image_url | house_url | price | bedroom_s_ | bathroom_s_ | square_feet | status | address | mls_id | listing_by |
|---|---|---|---|---|---|---|---|---|---|---|
| ny | $179,000 | 4 | 1.5 | 1536 | House for sale | 62 Albemarle St, Buffalo, NY 14207 | #B1543210 | Listing by Example Realty | ||
| ny | $329,900 | 3 | 2 | 2104 | Active | 7667 River Rd, Mount Morris, NY 14510 | #R1512345 | Brokered by Sample Homes |
Headers included - every accessible Zillow property URL appends one row
| Field group | Columns | Why it matters |
|---|---|---|
| Identity | house_url, address, mls_id | Keeps each row traceable back to the exact property page. |
| Property facts | price, bedroom_s_, bathroom_s_, square_feet, status | Supports quick comp review and spreadsheet filtering. |
| Source context | keyword, image_url, listing_by | Helps batch grouping, visual QA, and brokerage/source follow-up. |
Frequently asked questions
Zillow property pages may be publicly visible and still governed by Zillow Terms of Use, robots guidance, data licensing rules, privacy laws, and local real estate regulations. Use conservative pacing, do not bypass access controls or CAPTCHA, avoid republishing protected listing content, and get legal review before commercial reuse.
Before you run
Limits and maintenance notes
Guardrails for reliable Zillow URL scraping
Access controls
Zillow may show CAPTCHA, consent, login, or regional blocks
Pause when a challenge appears. The template is best-effort for accessible public pages and should not be used to bypass technical restrictions.
Selector drift
Hydrated property pages can change without warning
The workflow avoids many class-name selectors, but missing fields can still happen when Zillow changes embedded JSON, metadata, labels, or listing availability.
Compliance
Review Zillow rules before reuse
Check Zillow Terms of Use, official data/API options, robots guidance, and your internal data policy before resale, enrichment, outreach, model training, or public redistribution.
Use this export Zillow listings workflow with the UScraper download, keep the hosted Zillow scraper by URL JSON versioned with your project, and use official Zillow Group data options when your use case requires licensed or high-volume real estate data.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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